Getting Started with MLOps
Getting Started with MLOps Quiz
Welcome to the "Getting Started with MLOps" quiz! This engaging quiz is designed to test your knowledge on MLOps concepts and practices, especially in the realm of machine learning operations. Whether you are a beginner or looking to refine your understanding, you will gain valuable insights.
Take this quiz to explore important topics:
- Version Control in Machine Learning
- Data Management Strategies
- Continuous Integration and Deployment
Company named "Saras AI" created a computer vision model with almost 15 revisions. Each time they used different dataset. All the 15 model files are stored in folder. But they are not aware of which was the best version among them. Which was missing in their pipeline?
Storage
Version Control
Experiment tracker
ML algorithm
Rohit misplaced almsot 50% annotated data while shifting his personal laptop. What he should have used?
Database
Experiment Tracking
Data Storage
Data Version Control
Peter daily runs the same script to train the model for newly collected data. How to get rid of this job?
Continuous Build Pipeline
Continuous Deployment Pipeline
Continuous Integration Pipeline
Continuous Data Collection Pipeline
One of the AI startup wants to deploy the AI APP. But they are not sure about the number of users. What should they do?
Deploy VM with heavy resourses
Use autoscale techniques
Deploy on premise servers
Add GPUs to accelerate
There is DevOps included in MLOps.
True
False
Model Registry is the the place to store the logs generated during model training.
True
False
Integration is the process involved in development phase.
True
False
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